Soft robotic engines with non-reciprocal motion by physical intelligence

dc.contributor.authorSkarsetz, Oliver
dc.contributor.authorSwinkels, Piet J. M.
dc.contributor.authorFigueiredo da Silva, Jacqueline
dc.contributor.authorVozzolo, Giulia
dc.contributor.authorMasukawa, Marcos
dc.contributor.authorFusi, Giorgio
dc.contributor.authorDúzs, Brigitta
dc.contributor.authorLassiat, Yanis
dc.contributor.authorDrees, Christoph
dc.contributor.authorSlesarenko, Viacheslav
dc.contributor.authorWalther, Andreas
dc.date.accessioned2026-07-16T07:38:48Z
dc.date.issued2025
dc.description.abstractMovement is essential for living systems, enabling access to food, habitats, or escape from threats. Across scales, a key unifying principle is symmetry breaking to achieve non-reciprocal motion and accumulate work. In soft robotics, many actuators mimic biological responsiveness, but they typically exhibit reciprocal motion, where forward work is canceled in the return stroke – preventing work accumulation in cyclic operation. Here, a simple and broadly applicable hydrogel engine concept is presented that overcomes this limitation by encoding kinetic asymmetry into swelling and deswelling transitions. This hard-coded asymmetry yields non-reciprocal motion trajectories, enabling continuous mechanical work extraction under a single, uniform stimulus – without complex external control. The strategy embodies a material-based ratchet mechanism rooted in physical intelligence, independent of geometry or scale, and generalizable across stimuli. This hydrogel engine is implemented in soft robotic systems, including artificial cilia for fluid pumping and conveyor belts for object transport. Starting from macroscopic thermoresponsive systems, the design is extended to microscale formats via 3D printing and to other stimuli-responsive materials. This approach shifts the paradigm in soft robotics – from increasing chemical complexity to leveraging intrinsic material properties for emergent function – paving the way for scalable, autonomous systems driven by physical intelligence.en_GB
dc.identifier.doihttps://doi.org/10.25358/openscience-15771
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/15792
dc.language.isoeng
dc.rightsCC-BY-4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc540 Chemiede_DE
dc.subject.ddc540 Chemistry and allied sciencesen_GB
dc.subject.ddc660 Technische Chemiede_DE
dc.subject.ddc660 Chemical engineeringen_GB
dc.titleSoft robotic engines with non-reciprocal motion by physical intelligenceen_GB
dc.typeZeitschriftenaufsatzde_DE
jgu.apc.netprice2803,55
jgu.apc.price2999,80
jgu.apc.taxrate7
jgu.apc.transformationcontractWiley (DEAL)
jgu.dfg.year2025
jgu.identifier.uuid74d726ed-2c5b-417d-a52e-0728464faf6b
jgu.journal.issue45
jgu.journal.titleAdvanced materials
jgu.journal.volume37
jgu.nationalcurrency.eur2803,55
jgu.organisation.departmentFB 09 Chemie, Pharmazie u. Geowissensch.de_DE
jgu.organisation.nameJohannes Gutenberg-Universität Mainzde_DE
jgu.organisation.number7950
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.alternativee11630
jgu.publisher.doi10.1002/adma.202511630
jgu.publisher.eissn1521-4095
jgu.publisher.nameWiley-VCH
jgu.publisher.placeWeinheim
jgu.publisher.year2025
jgu.rights.accessrightsopenAccessen_GB
jgu.subject.ddccode540
jgu.subject.ddccode660
jgu.subject.dfgNaturwissenschaftende_DE
jgu.type.contenttypeScientific articleen_GB
jgu.type.dinitypeArticleen_GB
jgu.type.resourceTexten_GB
jgu.type.versionPublished versionen_GB

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